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| An Improved Minimax-Q Algorithm Based on Generalized Policy Iteration to Solve a Chaser-Invader Game 会议论文 , 线上, 2020-5 作者: Liu MS(刘民颂) ; Zhu YH(朱圆恒) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(727Kb)  |   收藏  |  浏览/下载:25/11  |  提交时间:2024/07/04 |
| MAT: Morphological Adaptive Transformer for Universal Morphology Policy Learning 期刊论文 IEEE Transactions on Cognitive and Developmental Systems, 2024, 页码: 1-12 作者: Boyu Li; Haran Li; Yuanheng Zhu ; Dongbin Zhao![](/image/person.jpg)
Adobe PDF(9953Kb)  |   收藏  |  浏览/下载:34/10  |  提交时间:2024/06/05 |
| FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game 期刊论文 IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 页码: 1-13 作者: Guangzheng Hu ; Yuanheng Zhu ; Haoran Li ; Dongbin Zhao![](/image/person.jpg)
Adobe PDF(2144Kb)  |   收藏  |  浏览/下载:47/9  |  提交时间:2024/06/05 Games Q-learning Task analysis Optimization Convergence Training Nash equilibrium Multi-agent reinforcement learning minimax-Q learning two-team zero-sum Markov games |
| Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning 会议论文 , Kigali City, Rwanda, Africa, 2023-5-5 作者: Junjie, Wang ; Yao, Mu; Dong, Li; Qichao,Zhang ; Dongbin, Zhao ; Yuzheng, Zhuang; Ping, Luo; Bin, Wang; Jianye, Hao
Adobe PDF(3492Kb)  |   收藏  |  浏览/下载:178/46  |  提交时间:2023/06/29 |
| Advantage Constrained Proximal Policy Optimization in Multi-Agent Reinforcement Learning 会议论文 , 昆士兰, 2023-6 作者: Li WF(李伟凡) ; Zhu YH(朱圆恒) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(4104Kb)  |   收藏  |  浏览/下载:261/81  |  提交时间:2023/06/29 multi-agent reinforcement learning policy gradient |
| Lane change decision-making through deep reinforcement learning with rule-based constraints 会议论文 , Budapest, Hungary, 2019-7 作者: Wang JJ(王俊杰) ; Zhang QC(张启超) ; Zhao DB(赵冬斌) ; Chen YR(陈亚冉)![](/image/person.jpg)
Adobe PDF(295Kb)  |   收藏  |  浏览/下载:148/44  |  提交时间:2023/05/30 Lane Change Decision-making Deep Reinforcement Learning Deep Q-Network |
| Dynamic-horizon model-based value estimation with latent imagination 期刊论文 IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-14 作者: Wang JJ(王俊杰) ; Zhang QC(张启超) ; Zhao DB(赵冬斌)![](/image/person.jpg)
Adobe PDF(2305Kb)  |   收藏  |  浏览/下载:199/69  |  提交时间:2023/05/30 Latent world model model-based value expansion (MVE) reinforcement learning reinforcement learning |
| Empirical Policy Optimization for n-Player Markov Games 期刊论文 IEEE Transactions on Cybernetics, 2022, 页码: doi={10.1109/TCYB.2022.3179775} 作者: Yuanheng Zhu ; Weifan Li ; Mengchen Zhao; Jianye Hao; Dongbin Zhao![](/image/person.jpg)
Adobe PDF(1739Kb)  |   收藏  |  浏览/下载:114/45  |  提交时间:2023/04/26 |
| Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 3, 页码: 1228-1241 作者: Zhu, Yuanheng ; Zhao, Dongbin![](/image/person.jpg)
Adobe PDF(2838Kb)  |   收藏  |  浏览/下载:257/14  |  提交时间:2022/06/10 Games Nash equilibrium Mathematical model Markov processes Convergence Dynamic programming Training Deep reinforcement learning (DRL) generalized policy iteration (GPI) Markov game (MG) Nash equilibrium Q network zero sum |
| Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 13 作者: Hu, Guangzheng ; Zhu, Yuanheng ; Zhao, Dongbin ; Zhao, Mengchen; Hao, Jianye
Adobe PDF(4187Kb)  |   收藏  |  浏览/下载:268/12  |  提交时间:2022/01/27 Bandwidth Protocols Reinforcement learning Task analysis Optimization Communication networks Multi-agent systems Event trigger limited bandwidth multi-agent communication multi-agent reinforcement learning (MARL) |